Liang, Y.; Li, Q. & Qian, T. (2011),
Finding Relevant Papers Based on Citation Relations, in Haixun Wang; Shijun Li; Satoshi Oyama; Xiaohua Hu & Tieyun Qian, ed.,
'Web-Age Information Management'
, Springer, Berlin/Heidelberg
, pp. 403--414
.
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With the tremendous amount of research publications, recommending relevant papers to researchers to fulfill their information need becomes a significant problem. The major challenge to be tackled by our work is that given a target paper, how to effectively recommend a set of relevant papers from an existing citation network. In this paper, we propose a novel method to address the problem by incorporating various citation relations for a proper set of papers, which are more relevant but with a very limited size. The proposed method has two unique properties. Firstly, a metric called Local Relation Strength is defined to measure the dependency between cited and citing papers. Secondly, a model called Global Relation Strength is proposed to capture the relevance between two papers in the whole citation graph. We evaluate our proposed model on a real-world publication dataset and conduct an extensive comparison with the state-of-the-art baseline methods. The experimental results demonstrate that our method can have a promising improvement over the state-of-the-art techniques.
Li, Q. (2006),
'Cyberbullying in Schools: A research of gender differences', School Psychology International
(2)
, 157-170
.
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Li, Q. (2005),
'New bottle but old wine: A research of cyberbullying in schools', Computers in human behavior
(4)
, 1177-1791
.
[Volltext]
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[Endnote]